Farid Melgani
- Media Technology top 0.05%
- Atmospheric Science top 1%
- Computer Vision and Pattern Recognition top 1%
- Ecology top 2%
- Artificial Intelligence top 5%
- Co-authors
- Lorenzo BruzzoneSebastiano B. SerpicoLuca PasolliEnrico BlanzieriGrégoire MercierEdoardo PasolliMassimo DonelliMariette De Vos
- Topics
- Remote-Sensing Image Classification (11 papers)Advanced Image Fusion Techniques (6 papers)Remote Sensing and Land Use (4 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingPattern Recognition LettersIEEE Geoscience and Remote Sensing Letters
- Partner nations
- ItalySaudi ArabiaUnited States
In The Last Decade
Farid Melgani
14 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Media Technology 3.0k
- Atmospheric Science 2.0k
- Computer Vision and Pattern Recognition 917
- Ecology 872
- Artificial Intelligence 424
Countries citing papers authored by Farid Melgani
This map shows the geographic impact of Farid Melgani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Farid Melgani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farid Melgani more than expected).
Fields of papers citing papers by Farid Melgani
This network shows the impact of papers produced by Farid Melgani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Farid Melgani. The network helps show where Farid Melgani may publish in the future.
Co-authorship network of co-authors of Farid Melgani
This figure shows the co-authorship network connecting the top 25 collaborators of Farid Melgani. A scholar is included among the top collaborators of Farid Melgani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Farid Melgani. Farid Melgani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 73 | |
| 3 | 13 | |
| 4 | 112 | |
| 5 | 14 | |
| 6 | 38 | |
| 7 | Classification of hyperspectral remote sensing images with support vector machinesbreakdown → | 3441 |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 124 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 51 | |
| 14 | 1 | |
| 15 | 9 |
About Farid Melgani
Farid Melgani is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 3.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (11 papers), Advanced Image Fusion Techniques (6 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Media Technology (3.0k citations), Atmospheric Science (2.0k citations) and Computer Vision and Pattern Recognition (917 citations). Farid Melgani has collaborated with scholars based in Italy, Saudi Arabia and United States. Frequent co-authors include Lorenzo Bruzzone, Sebastiano B. Serpico, Luca Pasolli, Enrico Blanzieri, Grégoire Mercier, Edoardo Pasolli, Massimo Donelli, Mariette De Vos, G. Vernazza and Naif Alajlan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition Letters and IEEE Geoscience and Remote Sensing Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.